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ICML
2004
IEEE
16 years 4 months ago
SVM-based generalized multiple-instance learning via approximate box counting
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
122
Voted
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
16 years 4 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 4 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
142
Voted
VLSID
2002
IEEE
131views VLSI» more  VLSID 2002»
16 years 4 months ago
Divide-and-Conquer IDDQ Testing for Core-Based System Chips
IDDQ testing has been used as a test technique to supplement voltage testing of CMOS chips. The idea behind IDDQ testing is to declare a chip as faulty if the steady-state current...
C. P. Ravikumar, Rahul Kumar
ICCAD
2002
IEEE
108views Hardware» more  ICCAD 2002»
16 years 22 days ago
A precorrected-FFT method for simulating on-chip inductance
The simulation of on-chip inductance using PEEC-based circuit analysis methods often requires the solution of a subproblem where an extracted inductance matrix must be multiplied ...
Haitian Hu, David Blaauw, Vladimir Zolotov, Kaushi...